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Google has worked with the team over Carnegie Mellon University's Create Lab to bring timelapse videos to Google Earth, which the tech giant says is the biggest update the company has made to the platform since 2017.

According to Rebecca Moore, Earth Engine and Outreach director of Google Earth, Timelapse has been developed using 24 million satellite images from the past 37 years from 1984 to 2020 before being compiled into an interactive 4D experience.

To play its part in helping the environment, Google made a commitment last September to operate with carbon-free energy across its businesses worldwide by 2030.

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Google introduces Timelapse to Google Earth | ZDNet Google says Google Earth is getting its biggest update since 2017.

VMware has addressed a critical vulnerability in the VMware Carbon Black Cloud Workload appliance that could allow attackers to bypass authentication after exploiting vulnerable servers.

VMware Carbon Black Cloud Workload is a Linux data center security software designed to protect workloads running in virtualized environments.

It also bundles endpoint protection capabilities, including endpoint detection and response (EDR), next-gen antivirus, and real-time threat hunting.

This security vulnerability impacts VMware Carbon Black Cloud Workload appliance version 1.0.1 and earlier.

Know more.
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VMware fixes authentication bypass in data center security software VMware has addressed a critical vulnerability in the VMware Carbon Black Cloud Workload appliance that could allow attackers to bypass authentication after exploiting vulnerable servers.

Agility is about releasing value, but in some circles, a misunderstanding of a ‘people-centric focus can unintentionally undermine that principle. Well-meaning leaders new to are sometimes coached to put all their efforts into creature comforts for their people whilst forgetting the primary purpose of the firm – to relentlessly deliver value to their customers and clients.

Agile frameworks are all about getting things done, releasing value, early and often, getting that delivery out the door and into the hands of our customers.
Everything about is about eliminating and overcoming any friction or challenge that prevents delivery from happening.

But Agile frameworks are not an excuse to take on unrealistic commitments after all the Agile Manifesto has a basic principle of patterns of work.
Agile teams, therefore, need to be organized and structured for teams to deliver maximum , , , and .

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Next-generation ADAS and autonomous driving (AD) systems, when deployed to market, will require accurate and high-speed recognition, judgment, and operation.

Convolutional neural networks (CNNs) require large amounts of computation for pattern recognition. As the number of sensors installed increases, higher CNN performance is required. However, as power consumption increases in proportion to performance, a heavy and expensive water-cooling system is needed.

It is required to achieve both high deep learning performance and low power consumption that enables a lightweight and cost-effective air-cooling system. Achieving a CNN performance of 60TOPS with an efficiency of 10TOPS/W per one LSI device is the optimal target from a practical point of view.


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High Reliable and Performance Deep Learning Accelerator for ADAS and Autonomous Driving Systems - ELE Times autonomous driving (AD) systems, when deployed to market, will require accurate and highspeed recognition, judgment, and operation.